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- W93845557 abstract "Feasibility of application of Ant Colony Optimization to two case studies of economic load dispatch and generation scheduling are presented. Ant Colony Optimization (ACO) is a meta-heuristic approach for solving hard combinatorial optimization problems. The inspiring source of ACO is the pheromone trail laying and following behavior of real ants which use pheromones as a communication medium. In analogy to the biological example, ACO is based on the indirect communication of a colony of simple agents, called (artificial) ants, mediated by (artificial) pheromone trails. The pheromone trails in ACO serve as distributed, numerical information which the ants use to probabilistically construct solutions to the problem being solved and which the ants adapt during the algorithm's execution to reflect their search experience. The suitability of the ant colony optimization algorithm for economic dispatch was carried out for two systems consisting of 3 and 6 generating units. The method is further extended to generator scheduling for IEEE 14, 30 and 57 bus systems respectively." @default.
- W93845557 created "2016-06-24" @default.
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- W93845557 date "2005-06-16" @default.
- W93845557 modified "2023-09-27" @default.
- W93845557 title "Ant colony optimization for economic generator scheduling and load dispatch" @default.
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